Datasets:
Tasks:
Image Classification
Formats:
parquet
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
spatial-reasoning
spatial_intelligence
vision-foundation-models
probing
benchmark
unreal-engine
License:
Update README.md
Browse files
README.md
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- 📄 **Paper:** [arXiv:2601.11729](https://arxiv.org/abs/2601.11729)
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- 💻 **Code:** [github.com/gmum/SpaRRTa](https://github.com/gmum/SpaRRTa)
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- 🧱 **Real-world (lego) split:**
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<p align="center">
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<img src="assets/teaser.png" alt="SpaRRTa teaser" width="100%">
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- 📄 **Paper:** [arXiv:2601.11729](https://arxiv.org/abs/2601.11729)
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- 💻 **Code:** [github.com/gmum/SpaRRTa](https://github.com/gmum/SpaRRTa)
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- 🧱 **Real-world (lego) split:** [turhancan97/SpaRRTa-Lego](https://huggingface.co/datasets/turhancan97/SpaRRTa-Lego)
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- 🔬 **Attention-analysis split (images + masks):** [turhancan97/SpaRRTa-Attention](https://huggingface.co/datasets/turhancan97/SpaRRTa-Attention)
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This repository hosts the **synthetic (Unreal Engine 5)** portion of the benchmark. It is
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complemented by two companion splits: the real-world set photographed with toy minifigures for
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sim-to-real evaluation ([`turhancan97/SpaRRTa-Lego`](https://huggingface.co/datasets/turhancan97/SpaRRTa-Lego)),
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and an attention-analysis set with per-object segmentation masks
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([`turhancan97/SpaRRTa-Attention`](https://huggingface.co/datasets/turhancan97/SpaRRTa-Attention)).
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<p align="center">
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<img src="assets/teaser.png" alt="SpaRRTa teaser" width="100%">
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